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somosnlp-hackathon-2022
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paraphrase-spanish-distilroberta

Sentence Similarity
sentence-transformers
PyTorch
Transformers
Spanish
roberta
feature-extraction
text-embeddings-inference
Inference Endpoints
Model card Files Community
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Lautaro commited on
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  1. README.md +7 -7
README.md CHANGED
@@ -34,7 +34,7 @@ Then you can use the model like this:
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  from sentence_transformers import SentenceTransformer
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  sentences = ["Este es un ejemplo", "Cada oración es transformada"]
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- model = SentenceTransformer('sentence-transformers/paraphrase-spanish-distilroberta')
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  embeddings = model.encode(sentences)
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  print(embeddings)
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  ```
@@ -58,8 +58,8 @@ def mean_pooling(model_output, attention_mask):
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  sentences = ['Este es un ejemplo", "Cada oración es transformada']
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  # Load model from HuggingFace Hub
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- tokenizer = AutoTokenizer.from_pretrained('paraphrase-spanish-distilroberta')
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- model = AutoModel.from_pretrained('paraphrase-spanish-distilroberta')
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  # Tokenize sentences
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  encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
@@ -137,7 +137,7 @@ We could check out the dataset that was used during training: [parallel-sentence
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  ## Authors
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- [Anibal Pérez](https://huggingface.co/Anarpego),
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- [Emilio Tomás Ariza](https://huggingface.co/medardodt),
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- [Lautaro Gesuelli](https://huggingface.co/lautaro) y
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- [Mauricio Mazuecos](https://huggingface.co/mmazuecos).
 
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  from sentence_transformers import SentenceTransformer
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  sentences = ["Este es un ejemplo", "Cada oración es transformada"]
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+ model = SentenceTransformer('hackathon-pln-es/paraphrase-spanish-distilroberta')
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  embeddings = model.encode(sentences)
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  print(embeddings)
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  ```
 
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  sentences = ['Este es un ejemplo", "Cada oración es transformada']
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  # Load model from HuggingFace Hub
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+ tokenizer = AutoTokenizer.from_pretrained('hackathon-pln-es/paraphrase-spanish-distilroberta')
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+ model = AutoModel.from_pretrained('hackathon-pln-es/paraphrase-spanish-distilroberta')
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  # Tokenize sentences
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  encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
 
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  ## Authors
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+ - [Anibal Pérez](https://huggingface.co/Anarpego),
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+ - [Emilio Tomás Ariza](https://huggingface.co/medardodt),
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+ - [Lautaro Gesuelli Pinto](https://huggingface.co/lautaro) y
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+ - [Mauricio Mazuecos](https://huggingface.co/mmazuecos).